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Data Associate - Data Requirements & Quality

Toronto, ON, Canada
Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

CUSTOMER

Perform data analysis and assist in assessing data management requirements for a specific Platform or Journey.
Articulate technical design and development details to non-technical business partners
Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
Support the acquisition and ingestion of data
Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
Develop and maintain ETL jobs using the Bank's standard tools under the guidance of senior peers and managers
Provide support to the development and testing teams to resolve data issues
Support partners and stakeholders in interpreting and analyzing data
Build effective working relationships to collaborate with peers and partners on personal deliverables
Provide data governance and availability support

SHAREHOLDER

Contribute to various operational activities and processes as assigned
Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
Be knowledgeable of practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
Protect the interests of the organization – identify and manage risks, and escalate non-standard, high risk activities as necessary
Conduct internal and external research projects; support the development / delivery of presentations / communications to management or broader audience
Conduct reporting and / or meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
Acquire and apply expertise in the discipline, provide guidance, assistance and direction to others
Identify, recommend and effectively execute standard practices applicable to the discipline
Adhere to internal policies/procedures and applicable regulatory guidelines
Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
May lead work streams by acting as a project lead / subject matter expert for small scale projects / initiatives in accordance with project management methodologies

EMPLOYEE / TEAM

Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
Participate in personal performance management and development activities, including cross training within own team
Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
Contribute to a fair, positive and equitable environment that supports a diverse workforce
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH:

Basic working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
Performs simple technical tasks independently
Performs moderately complex technical tasks under general supervision
Basic working knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary
Generally reports to a Practice Lead

EXPERIENCE AND / OR EDUCATION

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.

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More about this job

Responsibilities

The Data Associate will perform data analysis, assist in assessing data management requirements, and maintain foundational knowledge of upstream data. They will also develop and maintain ETL jobs, provide support to development and testing teams, and ensure data compliance with enterprise standards.

Requirements

Candidates must possess a degree, postgraduate degree, or technical certificate in Data Management or a related discipline such as Computer Science or Engineering. A basic working knowledge of data engineering frameworks, technologies, tools, and processes is required.

Skills

Data analysis
Data management
Data profiling
Data quality reporting
Metadata management
ETL development
Data modeling
Entity relationship diagrams
Dimensional data models
Data governance
Data lineage
Technical design
Risk management
Process improvement
Stakeholder management
Project management

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Management
ETL
Data Profiling
Data Quality
Metadata
Data Modeling
Entity Relationship Diagrams
Dimensional Data Models
Data Governance
Data Lineage
Risk Management
Technical Design
Computer Science
Engineering
Financial Services
Banking
Data Analysis
Process Improvement
Project Management
Compliance
Data Ingestion
Business Rules
Data Life-cycle Management
Stakeholder Collaboration

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